NUMBER THEORETIC ARCHITECTURES FOR ADAPTIVE DIGITAL FILTERS.

W. K. Jenkins, D. F. Marshall

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Residue-number-system (RNS) concepts can be used to obtain digital filter architectures that have attractive features for VLSI implementation due to the modularity that results from the arithmetic. RNS concepts are also of interest for adaptive digital filters that require a considerable amount of computation to be implemented in real time. The authors present designs for an FIR adaptive filter based on the well-known least-mean-squares (LMS) adaptive algorithm. The first design is for the standard time-domain LMS algorithm. The second is for an LMS algorithm that incorporates the Walsh-Hadamard transform to improve convergence rates when the filter operates in a colored noise environment.

    Original languageEnglish (US)
    Title of host publicationConference Record - Asilomar Conference on Circuits, Systems & Computers
    PublisherIEEE
    Pages363-367
    Number of pages5
    ISBN (Print)0818608161
    StatePublished - 1987

    Publication series

    NameConference Record - Asilomar Conference on Circuits, Systems & Computers
    ISSN (Print)0736-5861

    All Science Journal Classification (ASJC) codes

    • General Engineering

    Fingerprint

    Dive into the research topics of 'NUMBER THEORETIC ARCHITECTURES FOR ADAPTIVE DIGITAL FILTERS.'. Together they form a unique fingerprint.

    Cite this